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1

Shape analysis and volumetry using 3DVIEWNIX with applications to medical imaging

Banerjee S., Majumdar D.

Image Processing & Communications

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1999

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Vol. 5, no 2

3-10

EN

We present here linear, area and volume measures of substructures within structures, displayed as surface and volume rendered images, as well as individual two dimensional cross sections for purposes of quantitative assessment and show how these measures can provide biological markers for studying the extent of a disease, using an example from medical imaging.

2

An image processing based study of the bone erosion process in osteoporosis using radiographic images : a shape metric approach

Majumdar D., Bhattacharya M.

Image Processing & Communications

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1999

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Vol. 5, no 2

39-55

EN

An investigation of a class of metabolic bone diseases called osteoporosis which is a very common bone disorder resulting a major disability is carried out with radiographic image modality for diagnostics and therapeutic planning. Based on a mathematical theory of shape authors developed a methodology to compute: (a) an erosion factor for different cases of osteoporosis; (b) a gradation of the disease so that doctor make some quantitative assessment and decide if the disorder can be treated conservatively or surgically.

3

A new shape based techique for classification and registration : application to multimodal medical images

Majumdar D., Bhattacharya M.

Image Processing & Communications

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1998

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Vol. 4, no 3-4

45-70

EN

The present paper is part of an investigation being carried out by the autors for developing a knowledge based framework for combining different modalities of medical imaging such as CT, MRI, PET, SPECT, USG etc. which ever is relevant for a particular case for medical diagnostics and therapeutic planning. In this paper we are mainly concerned about some brain diseases to study the degree of prognosis of the disease. The study consists of two parts (a) localisation and slassification of intracranial tumors in central nervous system (CNS) appering in brain as space occupying lesion and (b) registration of CT, [T1] and [T2] weighted MR images of brain having Alzheimer's disease. Both the classification and the registration technique are based on mathematical theory of shape briefly presented here. In first part of the paper the brain tumors are clssified in noncancerous benign group and in cancerous malignant group implementing the concept of "shape distance" and "shape similarity measure" as defined by D. Dutta Majumder et al. [2],[3],[4],[5],[6],[7],[8],[9],[10],[24]. A finer gradation is suggested regarding the growth of the tumors in brain to assist the clinicians to take necssary decision for proper surgical planning. In second part of the paper the registration of region of interest (ROI) of brain is performed for Alzheimer's patient considering CT, [T1] and [T2] weighted MR images.

4

A multimodal medical image processing system using a konowledge based approach

Banerjee S., Majumdar D.

Image Processing & Communications

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1998

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Vol. 4, no 1-2

47-80

EN

Shape analyses of anatomical structures / Regions of Interest (ROI) in medical images is important for the detailed study and objective assessment of the various properties of such structures. In addition, shape analyses of equivalent anatomical structures from different modalities provide complementary information about the ROI. In this paper we propose an image processing system that performs registration and shape alnalyses of segmented images of such structures obtained from the two modalities, x-ray Computed Tomography (CT) and Magnetic Resonance (MR) imaging using a knowledge based approach to identify these structures.